Artificial Intelligence in Managing Antimicrobial Resistance (1)
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- Synopsis
- This volume reviews the use of machine learning (ML) to predict antibiotic resistance in pathogens based on gene content and genome composition as data sets comprising hundreds or thousands of pathogen genomes become available. One of the main goals of this work is to promote the use of ML in front-line contexts while simultaneously emphasizing the additional improvements that are required to use these techniques in a secure and confident manner. Given the variety of quantitative and qualitative laboratory indicators of AMR, the issue of what to anticipate is not an easy one.This book is intended for academia, students of medical science, microbiology, biology, and biotechnology, as well as experts and scientists working in the fields of infectious diseases, government health organizations, and medicine.
- Copyright:
- 2025
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 170 Pages
- ISBN-13:
- 9781040411674
- Related ISBNs:
- 9781040411667, 9781003503019, 9781032812458
- Publisher:
- CRC Press
- Date of Addition:
- 05/30/25
- Copyrighted By:
- Ramendra Pati Pandey, Chung-Ming Chang and V. Samuel Raj
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science, Computers and Internet, Medicine
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Ramendra Pati Pandey
- Edited by:
- Chung-Ming Chang
- Edited by:
- V. Samuel Raj
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- by Ramendra Pati Pandey
- by Chung-Ming Chang
- by V. Samuel Raj
- in Nonfiction
- in Science
- in Computers and Internet
- in Medicine